Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Salary details are not provided in the description. Salary ranges are determined based on experience, location, and skill set.
The position is onsite in the New York office.
Requirements include 5+ years of hands-on experience in MLOps and Research Engineering, strong proficiency in Python with TensorFlow, PyTorch, and scikit-learn, and experience in end-to-end ML pipelines, systematic trading systems, APIs/microservices, Big Data technologies, cloud platforms, and containerization.
Flow Traders has an entrepreneurial and innovative culture where employees are challenged to utilize their full potential.
A strong candidate holds an advanced degree (Master's or PhD), has 5+ years in MLOps and Research Engineering, and brings experience in ML pipelines, systematic trading systems, Python ML libraries, Big Data, cloud, and modern software practices.
Global liquidity provider for financial markets
Flow Traders is a global liquidity provider that focuses on Exchange Traded Products (ETPs) and is expanding into other asset classes. The company operates in major financial markets across the Americas, APAC, and EMEA regions. It utilizes a proprietary technology platform to set bid and ask prices for thousands of ETP listings and similar financial products, which helps ensure there are enough buyers and sellers in the market, facilitating easier trading for investors. Flow Traders primarily serves institutional clients, such as hedge funds and asset managers, who depend on their efficient trading services. The company earns profits by taking a small margin on a large volume of trades, capitalizing on their advanced technology and market knowledge to maintain a competitive edge. Additionally, Flow Traders is dedicated to corporate social responsibility, aiming to create shared value in economic, social, and environmental aspects.